Triple

T7110161
Position Surface form Disambiguated ID Type / Status
Subject Comarca Minera E165687 entity
Predicate contains P35 FINISHED
Object Real del Monte E165688 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Real del Monte | Statement: [Comarca Minera, contains, Real del Monte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Real del Monte
Context triple: [Comarca Minera, contains, Real del Monte]
  • A. Real del Monte chosen
    Real del Monte is a historic mining town in central Mexico renowned for its silver mines, Cornish heritage, and traditional pastes (savory pastries).
  • B. Mineral del Monte
    Mineral del Monte is a historic mining town in the Mexican state of Hidalgo, known for its silver mines, Cornish heritage, and distinctive architecture.
  • C. San Miguelito
    San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
  • D. San Miguel
    San Miguel is a town located within Bolívar Province in central Ecuador, known for its Andean setting and local agricultural activities.
  • E. San Miguel
    San Miguel is a barangay (local administrative district) within the highly urbanized city of Taguig in Metro Manila, Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5be09d881909988b5382ffa20ed completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cb8d4988190945516cee5d6d53b completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:43 p.m.